About

This website serves both as a guide to the courses and lessons we offer, and as a hub for articles, exercises, and other useful resources for students studying Mathematics and Statistics, from O-level to University level. All content is freely accessible online with just an internet connection.

About Me

Hello my name is Mark Debono. My background of studies is Mathematics and Statistics. I achieved my B.Sc. (Hons) in Mathematics & Statistics & OR from the University of Malta in 2010. After that I studied for my M.Sc. in Mathematics, specialising in Graph Theory.

I began my teaching career in Mathematics and Statistics at local schools, the University of Malta, the Junior College, and MCAST. I later worked in the financial sector as a data science consultant for local banks. Today, I focus on supporting university students with statistical analysis for dissertations and delivering private online lessons in Mathematics and Statistics at both university and sixth form level. I am committed to providing clear and practical Mathematics lessons to students across all fields of study. 

Topics of interest include:

  • Graph Theory
  • Community Detection Algorithms and Clustering
  • Regression Techniques
  • Survival Analysis
  • Queueing Models
  • Time Series
  • Simulation Techniques.

Please feel free to go through the website and its resources and if you have any questions, comments and suggestions, kindly get in touch!

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About Me

My name is Oliver Said. I graduated with a B.Sc. (Hons) in Mathematics, Statistics and Operations Research from the University of Malta in 2010, and later completed an M.Sc. in Mathematical Finance at the University of York in 2018.

Teaching career commenced in 2011 at secondary school level, later extending to post-secondary and undergraduate mathematics education. Emphasis has consistently been placed on presenting mathematical concepts in a clear, structured manner, with content tailored to students preparing for examinations or pursuing further studies.

Main areas of interest include:

  • Mathematical finance – including stochastic calculus, derivative pricing, numerical methods, and quantitative risk management

  • Applied mathematics – covering vectors, statics, coplanar forces, kinematics in one and two dimensions, and the dynamics of particles

  • Combinatorics and probability – including graph theory, counting techniques, and probabilistic reasoning

  • Statistics – focusing on statistical inference, regression analysis, and data interpretation

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